AI AUTOMATION PROGRAM

Build AI Agents. Automate Everything.

Our AI Agents & No-Code Automation Course takes you from basic workflows to production AI agents — LLMs, Zapier, Make, n8n, vector databases and multi-agent systems, taught through real automation projects and capstone builds, not just theory.

AI Agents Zapier Make.com n8n LLMs Vector DBs
✓ Live Automations ✓ 15+ Tools ✓ Career Support ✓ Certification

Why Technogeeks X AI

A training partner built around outcomes, not just attendance.

Cutting-Edge Curriculum

Every module covers what AI automation engineers actually build — from simple Zaps to multi-agent systems.

Real Production Workflows

Build automations that run live — processing real data, making actual API calls, solving business problems.

Practicing Automation Engineers

Learn from mentors who actively build AI agents and automation systems for clients.

Small Batch Sizes

Focused, interactive batches so every learner gets personalized feedback on workflows.

Placement & Career Support

Resume building, portfolio reviews and job assistance built into the program.

Proven Track Record

5000+ learners trained across our automation & tech programs.

Real skills, not just certificates

By the end of the AI Agents & No-Code Automation course, here's exactly what you'll be able to walk into an interview and demonstrate.

01 Workflow_Auto

Automate

Build multi-step workflows connecting apps with Zapier, Make and n8n.

02 Agent_Build

Deploy

Create AI agents using LLMs, prompts and function calling.

03 API_Integration

Integrate

Connect APIs, webhooks and databases into automation pipelines.

04 Vector_Search

Enhance

Implement RAG systems with vector databases for AI memory.

Everything an AI Automation Engineer needs

One connected toolkit, not a checklist — each skill below is taught in the context of the others.

AI
AUTOMATION
  • Zapier
  • Make.com
  • n8n
  • AI Agents
  • LLMs
  • APIs
  • Webhooks
  • Pinecone
  • LangChain
  • AutoGen

From idea to autonomous system

Every project in this course follows the same pipeline a professional AI automation engineer uses on the job.

  1. 01

    Map

    Process · Triggers · Actions

  2. 02

    Connect

    Apps · APIs · Webhooks

  3. 03

    Build

    Zapier · Make · n8n

  4. 04

    Enhance

    LLMs · Prompts · Agents

  5. 05

    Test

    Debug · Error Handling

  6. 06

    Deploy

    Monitor · Scale · Optimize

Automations you'll actually build

Not theoretical exercises — these are the real capstone projects inside the course, the same ones you'll show in interviews.

AI Lead Qualification System

Problem — Sales team needed automated lead scoring and CRM updates from form submissions.

Stack — Zapier, OpenAI, Google Sheets, HubSpot, custom prompts.

Outcome — Fully automated pipeline scoring 500+ leads/month with 92% accuracy.

ZapierOpenAIHubSpotGoogle Sheets

Multi-Platform Content Auto-Poster

Problem — Marketing team needed one-click content distribution across 5 platforms.

Stack — Make.com, OpenAI, Buffer, LinkedIn, Twitter, Instagram APIs.

Outcome — AI rewrites and posts content to all platforms with platform-specific formatting.

Make.comOpenAIBufferSocial APIs

AI Customer Support Agent

Problem — Support team needed 24/7 automated responses with human handoff.

Stack — n8n, LangChain, Pinecone, Slack, Zendesk, custom knowledge base.

Outcome — AI agent handling 70% of queries autonomously with RAG-based answers.

n8nLangChainPineconeSlack

Six phases, one connected program

The full syllabus is grouped into six learning phases so it's easier to see how everything fits together.

Automation concepts, triggers and actions, working with Zapier, Make and n8n interfaces, basic workflow design.

Multi-step Zaps, filters, routers, webhooks, API integrations, error handling and production-ready automations.

Working with OpenAI, Anthropic and open-source LLMs, prompt design, few-shot learning and output parsing.

Building AI agents with tool use, function calling, multi-step reasoning and autonomous task execution.

Retrieval-Augmented Generation, embeddings, Pinecone, Weaviate, building AI memory and knowledge systems.

AutoGen, CrewAI, multi-agent orchestration, followed by an end-to-end production AI automation capstone.

Get an Industry-Recognized Certificate

A certificate that reflects real automation work, not just seat time.

  1. Project-basedAwarded only after completing capstone automations, not just attendance.
  2. ShareableAdd directly to your LinkedIn profile and resume.
  3. VerifiableEvery certificate carries a unique ID employers can verify.
  4. Industry-alignedMapped to the tools and skills employers actually screen for.

Learn by building live automations

Every module pairs theory with hands-on work in real automation tools — not slides you scroll past.

Automation Lab
  1. Process MapDocument triggers, actions and data flow
  2. Tool SelectionChoose Zapier, Make or n8n based on needs
  3. Build WorkflowConnect apps, APIs and logic nodes
  4. Add AI LayerIntegrate LLMs, prompts and agents
  5. Deploy & MonitorGo live with error handling and alerts

Don't just use AI. Learn to orchestrate it.

Multi-agent systems and AI orchestration is part of the core curriculum, not a bonus webinar.

OpenAI Anthropic LangChain AutoGen CrewAI
Agent design Function calling Multi-agent orchestration RAG pipelines Prompt chains Tool integration Autonomous workflows

Where this course takes you

step 1

Learn

Zapier, Make, n8n, LLMs, APIs, webhooks and AI agent fundamentals.

step 2

Build

Apply every module to real automation projects with actual business impact.

step 3

Portfolio

Ship 4–5 deployed automation systems you can demo live.

step 4

Interview

Mock interviews built around your own automation architectures.

step 5

Apply

Apply for roles with mentor and profile support.

Automation Engineer AI Solutions Architect No-Code Developer AI Operations Specialist

Support that goes beyond the syllabus

Resume / CV

Resume / CV

Automation-focused resume highlighting workflows and business impact.

Mock Interviews

Mock Interviews

Practice rounds with real interview feedback on automation scenarios.

Interview Preparation

Interview Prep

Common AI automation interview questions and system design, solved.

Mentorship

Mentorship

Ongoing guidance from practicing AI automation engineers.

Job Assistance

Job Assistance

Access to relevant openings and referrals in automation teams.

Profile Guidance

Profile Guidance

GitHub, LinkedIn and portfolio review before you apply.

Alumni Working Across the Industry

A growing network of automation engineers who started exactly where you are now.

20000+Learners Trained
70+Hiring Partners
4.8/5Average Rating
10+Years of Training

Course Snapshot

2.5 MonthsDuration
60+Training Hours
25+Assignments
2Live Automations
23Modules
Online / OfflineLearning Mode
YesCertification
YesMentorship

AI Agents & Automation Program

Frequently asked questions

A job-focused program covering Zapier, Make, n8n, LLMs, AI agents, RAG and multi-agent systems, built around real automation projects.

Graduates, working professionals, business owners and career switchers — no coding experience required, but basic tech familiarity helps.

Zapier, Make.com, n8n, OpenAI, Anthropic, LangChain, Pinecone, AutoGen, CrewAI, APIs, webhooks and more.

No — this is a no-code/low-code program. Basic JavaScript is helpful for advanced customizations but not mandatory.

Yes — the program includes real automation assignments and 5 capstone-style AI agent projects.

Yes, a certificate of completion is provided at the end of the program.

Resume building, mock interviews, mentorship and job assistance are included — see the Career Launchpad section above.

Yes, both online and offline learning modes are available.

Yes — use "Watch Free Demo" above or book a free counselling call to get access.

Yes — building AI agents with function calling, tool use and multi-agent orchestration is a core part of the curriculum.

Start Your AI Journey

Your Next Career Move Can Start With Automation.

Learn the tools. Build the agents. Automate the future.